CN109191921B - Air traffic control monitoring data simulation method based on 4D trajectory prediction - Google Patents
Air traffic control monitoring data simulation method based on 4D trajectory prediction Download PDFInfo
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Abstract
The invention discloses an air traffic control monitoring data simulation method based on 4D track prediction, which comprises the following steps: s1: making a simulation script, inputting planning parameters and target parameters of the aircraft, drawing a flight line of the aircraft, storing the whole simulation script, and sending the simulation script to a 4D trajectory prediction module; s2: extracting input data required by 4D trajectory prediction; s3: the 4D track prediction module calculates a flight profile according to the flight dynamics equation and the aircraft performance data according to the input information to form a 4D track data file; s4: extracting track data according to time according to the 4D track data file, calculating key points with changed height, speed and course, and forming a simulation script corrected by 4D track prediction; s5: and running the simulation script, starting a timer, calculating the flight attitude of the aircraft according to the key point path, and reporting aircraft monitoring data. The invention effectively improves the simulation precision and flexibility.
Description
Technical Field
The invention relates to the field of air traffic control, in particular to an air traffic control monitoring data simulation method based on 4D trajectory prediction.
Background
With the continuous deepening of the research and the verification of the air traffic control new technology, the requirement on the quality of system simulation data is higher and higher, a large batch of aircraft taking-off and landing processes need to be simulated through accurate simulation data, the conventional simulation data generation method is realized through simple calculation of a flight plan or historical data analysis and the like, and the simulation precision, the flexibility and the like are all deficient.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide an air traffic control monitoring data simulation method based on 4D track prediction, which effectively improves the simulation precision and flexibility.
The technical scheme is as follows: in order to achieve the purpose, the invention adopts the following technical scheme:
the invention discloses an air traffic control monitoring data simulation method based on 4D track prediction, which comprises the following steps:
s1: making a simulation script, inputting planning parameters and target parameters of the aircraft, drawing a flight line of the aircraft, storing the whole simulation script, and sending the simulation script to a 4D trajectory prediction module;
s2: extracting input data required by 4D trajectory prediction;
s3: the 4D track prediction module calculates a flight profile according to the flight dynamics equation and the aircraft performance data according to the input information to form a 4D track data file;
s4: extracting track data according to time according to the 4D track data file, calculating key points with changed height, speed and course, and forming a simulation script corrected by 4D track prediction;
s5: and running the simulation script, starting a timer, calculating the flight attitude of the aircraft according to the key point path, and reporting aircraft monitoring data.
Further, in step S1, a simulation script is created by the steps of:
s1.1: inputting aircraft planning parameters and aircraft target parameters;
s1.2: selecting an apron and a runway where the aircraft is located, and planning a scene sliding path when the aircraft takes off;
s1.3: selecting an off-site route;
s1.4: drawing a high-altitude flight route;
s1.5: selecting an approach route;
s1.6: selecting an apron and a runway where the aircraft is located, and planning a scene sliding path when the aircraft lands;
s1.7: and storing the flight path to form data of all flight path sections of gliding, taking off, flying away, flying high above the ground, flying in the approach and landing from the scene.
Further, the step S3 specifically includes the following steps:
s3.1: determining a flight route according to a take-off airport and a landing airport, and generating a horizontal section by combining a route entering and leaving the airport;
s3.2: according to a flight dynamics equation and thrust adopted by the aircraft in different flight stages, taking the flight distance in the horizontal section as a variable, and sequentially calculating according to a climbing stage, a cruising stage and a descending stage to form an altitude section and an airspeed section;
s3.3: correcting the airspeed profile by combining the wind speed and the wind direction to generate a ground speed profile;
s3.4: and coupling the horizontal section, the altitude section, the airspeed section and the ground speed section to form a complete 4D track.
Further, the step S4 specifically includes the following steps:
s4.1: setting an altitude change threshold value, a speed change threshold value and a course change threshold value;
s4.2: extracting points with changed height, speed and course from the 4D track data file, and identifying the points as key points of the flight path;
s4.3: and storing the parameters of the aircraft and the path information of the flight key points to form a corrected simulation script file.
Further, the step S5 specifically includes the following steps:
s5.1: running a simulation script, reading a simulation script file, and putting aircraft parameters and a flight key point path into a memory area;
s5.2: starting a timer, and executing the steps S5.3, S5.4 and S5.5 according to the period of 1 second/time;
s5.3: calling a system function to obtain the current time, and determining that the aircraft is in the key point path section according to the current time;
s5.4: calculating the current position, altitude, speed and heading of the aircraft according to the position, altitude, speed, heading and current time of the known path point;
s5.5: and judging whether the current aircraft moving position is in a reporting range, if so, generating monitoring data and reporting the flight attitude of the current aircraft.
Has the advantages that: the invention discloses an air traffic control monitoring data simulation method based on 4D track prediction, which has the following beneficial effects compared with the prior art:
1) the input parameters of the 4D trajectory prediction are set automatically, so that the flexibility and the adaptability of monitoring data simulation are enhanced;
2) a horizontal profile, a height profile and a speed profile are adopted to generate a complete 4D track in a fitting mode, and the fidelity of simulation data is improved;
3) the path key point calculation is adopted, and the target point of the generated monitoring data is continuous and stable.
Drawings
FIG. 1 is a schematic diagram of creating a simulation script according to an embodiment of the present invention;
FIG. 2 is a flow chart of 4D trajectory prediction in accordance with an embodiment of the present invention;
FIG. 3 is a flowchart of a simulation script formed by path key points in an embodiment of the present invention;
FIG. 4 is a flowchart illustrating extrapolation of a target according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention will be further described with reference to the following detailed description and accompanying drawings.
The specific implementation mode of the invention discloses an air traffic control monitoring data simulation method based on 4D track prediction, which comprises the following steps:
s1: and (4) making a simulation script, inputting a planning parameter and a target parameter of the aircraft, drawing a flight line of the aircraft, storing the whole simulation script, and sending the simulation script to the 4D trajectory prediction module. FIG. 1 is a schematic diagram of creating a simulation script. The aircraft planning parameters include flight number, secondary code, aircraft registration number, departure time, departure airport, landing airport, aircraft model, wake level, flight rules, flight category, navigation device, surveillance device, and the like. The aircraft target parameters include nationality, attributes, mission, initial fuel quantity, transponder switch status, etc. The flight routes of the aircraft comprise a scene route when the aircraft takes off, an off-scene route, a high-altitude route, an approach route and a scene route when the aircraft lands.
S2: and extracting input data required by 4D trajectory prediction, including a take-off and landing airport, airplane models, runway information, cruising altitude, speed, an entrance and departure procedure and meteorological conditions.
S3: as shown in FIG. 2, the 4D trajectory prediction module calculates flight profiles, including altitude, velocity, and horizontal profiles, from the flight dynamics equations and aircraft performance data based on the input information to form a 4D trajectory data file.
S4: as shown in fig. 3, according to the 4D trajectory data file, the trajectory data is extracted according to time, and the key points of the changes of the altitude, the speed and the heading are calculated, so as to form a simulation script corrected by 4D trajectory prediction.
S5: as shown in fig. 4, a simulation script is run, a timer is started, the flight attitude of the aircraft is calculated according to the key point path, and aircraft monitoring data is reported.
In step S1, a simulation script is created by the following steps:
s1.1: inputting aircraft planning parameters and aircraft target parameters;
s1.2: selecting an apron and a runway where the aircraft is located, and planning a scene sliding path when the aircraft takes off;
s1.3: selecting an off-site route;
s1.4: drawing a high-altitude flight route;
s1.5: selecting an approach route;
s1.6: selecting an apron and a runway where the aircraft is located, and planning a scene sliding path when the aircraft lands;
s1.7: and storing the flight path to form data of all flight path sections of gliding, taking off, flying away, flying high above the ground, flying in the approach and landing from the scene.
Step S3 specifically includes the following steps:
s3.1: determining a flight route according to a take-off airport and a landing airport, and generating a horizontal section by combining a route entering and leaving the airport;
s3.2: according to a flight dynamics equation and thrust adopted by the aircraft in different flight stages, taking the flight distance in the horizontal section as a variable, and sequentially calculating according to a climbing stage, a cruising stage and a descending stage to form an altitude section and an airspeed section;
s3.3: correcting the airspeed profile by combining the wind speed and the wind direction to generate a ground speed profile;
s3.4: and coupling the horizontal section, the altitude section, the airspeed section and the ground speed section to form a complete 4D track.
Step S4 specifically includes the following steps:
s4.1: setting an altitude change threshold value, a speed change threshold value and a course change threshold value;
s4.2: extracting points with changed height, speed and course from the 4D track data file, and identifying the points as key points of the flight path;
s4.3: and storing the parameters of the aircraft and the path information of the flight key points to form a corrected simulation script file.
Step S5 specifically includes the following steps:
s5.1: running a simulation script, reading a simulation script file, and putting aircraft parameters and a flight key point path into a memory area;
s5.2: starting a timer, and executing the steps S5.3, S5.4 and S5.5 according to the period of 1 second/time;
s5.3: calling a system function to obtain the current time, and determining that the aircraft is in the key point path section according to the current time;
s5.4: calculating the current position, altitude, speed and heading of the aircraft according to the position, altitude, speed, heading and current time of the known path point;
s5.5: and judging whether the current aircraft moving position is in a reporting range, if so, generating monitoring data and reporting the flight attitude of the current aircraft.
Claims (3)
1. A method for simulating air traffic control monitoring data based on 4D trajectory prediction is characterized by comprising the following steps: the method comprises the following steps:
s1: making a simulation script, inputting planning parameters and target parameters of the aircraft, drawing a flight line of the aircraft, storing the whole simulation script, and sending the simulation script to a 4D trajectory prediction module;
s2: extracting input data required by 4D trajectory prediction;
s3: the 4D track prediction module calculates a flight profile according to the flight dynamics equation and the aircraft performance data according to the input information to form a 4D track data file;
s4: extracting track data according to time according to the 4D track data file, calculating key points with changed height, speed and course, and forming a simulation script corrected by 4D track prediction;
s5: running a simulation script, starting a timer, calculating the flight attitude of the aircraft according to the key point path, and reporting aircraft monitoring data;
the step S4 specifically includes the following steps:
s4.1: setting an altitude change threshold value, a speed change threshold value and a course change threshold value;
s4.2: extracting points with changed height, speed and course from the 4D track data file, and identifying the points as key points of the flight path;
s4.3: storing aircraft parameters and flight key point path information to form a modified simulation script file;
the step S5 specifically includes the following steps:
s5.1: running a simulation script, reading a simulation script file, and putting aircraft parameters and a flight key point path into a memory area;
s5.2: starting a timer, and executing the steps S5.3, S5.4 and S5.5 according to the period of 1 second/time;
s5.3: calling a system function to obtain the current time, and determining that the aircraft is in the key point path section according to the current time;
s5.4: calculating the current position, altitude, speed and heading of the aircraft according to the position, altitude, speed, heading and current time of the known path point;
s5.5: and judging whether the current aircraft moving position is in a reporting range, if so, generating monitoring data and reporting the flight attitude of the current aircraft.
2. The air traffic control monitoring data simulation method based on 4D trajectory prediction as claimed in claim 1, wherein: in step S1, a simulation script is created by the steps of:
s1.1: inputting aircraft planning parameters and aircraft target parameters;
s1.2: selecting an apron and a runway where the aircraft is located, and planning a scene sliding path when the aircraft takes off;
s1.3: selecting an off-site route;
s1.4: drawing a high-altitude flight route;
s1.5: selecting an approach route;
s1.6: selecting an apron and a runway where the aircraft is located, and planning a scene sliding path when the aircraft lands;
s1.7: and storing the flight path to form data of all flight path sections of gliding, taking off, flying away, flying high above the ground, flying in the approach and landing from the scene.
3. The air traffic control monitoring data simulation method based on 4D trajectory prediction as claimed in claim 1, wherein: the step S3 specifically includes the following steps:
s3.1: determining a flight route according to a take-off airport and a landing airport, and generating a horizontal section by combining a route entering and leaving the airport;
s3.2: according to a flight dynamics equation and thrust adopted by the aircraft in different flight stages, taking the flight distance in the horizontal section as a variable, and sequentially calculating according to a climbing stage, a cruising stage and a descending stage to form an altitude section and an airspeed section;
s3.3: correcting the airspeed profile by combining the wind speed and the wind direction to generate a ground speed profile;
s3.4: and coupling the horizontal section, the altitude section, the airspeed section and the ground speed section to form a complete 4D track.
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| CN111210668B (en) * | 2019-12-30 | 2022-02-15 | 四川函钛科技有限公司 | Landing stage flight trajectory offset correction method based on time sequence QAR parameter |
| CN111627258A (en) * | 2020-04-16 | 2020-09-04 | 中国航空无线电电子研究所 | Method for generating air traffic operation simulation data |
| CN111968409B (en) * | 2020-07-31 | 2021-06-29 | 中国民航科学技术研究院 | Aircraft takeoff stopping identification method and system based on real-time ADS-B data |
| CN114967749B (en) * | 2022-06-14 | 2023-04-07 | 北京中科飞鸿科技股份有限公司 | Maneuvering trajectory design method for low-cost altimeter |
| CN114822143B (en) * | 2022-06-29 | 2022-09-02 | 深圳前海壹路科技有限公司 | Military training intelligent examination management system and method |
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